Siemens and Nvidia Collaborate to Expand Digital Services

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
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Siemens and Nvidia Collaborate to Expand Digital Services

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)

Siemens has signed a partnership agreement with chip designer Nvidia Corp to create an industrial metaverse - an enhanced virtual reality for companies to reduce the costs of running their factories, buildings and speed up new product design.

The deal is a cornerstone of Siemens Xcelerator, a new open digital platform also launched by the German technology and engineering company on Wednesday.

The cloud-based platform, which will feature hardware, software and digital services, is part of Siemens' ambition to grow its digital business by 10% per year from the 5.6 billion euros ($5.89 billion) generated in 2021.

"Siemens Xcelerator will make it easier than ever before for companies to navigate digital transformation - faster and at scale," Siemens Chief Executive Roland Busch said in a statement.

Siemens, which bought Brightly Software for $1.58 billion on Monday, is moving further into the digital space because it offers faster growth rates and higher margins than its traditional business of trains and industrial drives and automation.

Siemens and Nvidia are just two of the companies which are working in the so-called metaverse, which refers broadly to the idea of a shared virtual platform that people can access through different devices and where they can move through digital environments.

Facebook-owner Meta Platforms and Microsoft and others are also looking at metaverse technology can be used in business and leisure.

Siemens's Xcelerator will be the umbrella term for services which will allow customers to visualize yachts or factories, for example, before construction starts.

"We can essentially replace having to build a thing in the real world first," Tony Hemmelgarn, CEO of Siemens Digital Industries Software, told reporters.

The platform would also ensure products "are going to work well, before we commit to building them in the real world when it becomes really expensive and difficult to change," he added.

The services will be offered to customers through Siemens's software as a service (SaaS) subscription model, to make it more affordable for small and medium-sized companies.

As part of the collaboration, Siemens will connect Xcelerator and its own software and digital twin products with Nvidia's Omniverse, a platform for 3D design.



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.